In the image acquisition or transmission, the image may be damaged and distorted due to various reasons; therefore, in order to satisfy people’s visual effects, these images with degrading quality must be processed to meet practical needs. Integrating artificial bee colony algorithm and fuzzy set, this paper introduces fuzzy entropy into the self-adaptive fuzzy enhancement of image so as to rea...

In this paper, a constrained mean-variance model is constructed for the portfolio optimization problems. The model is a mixed quadratic integer programming problem, and it is too hard to solve by using the traditional optimal algorithms. The purpose of this paper is to use a heuristic algorithm to solve this problem. Combined with the differential evolution strategy, a new hybrid artificial bee...

The Optimal economic operation of their electric networks while considering the challenges of increasing fuel costs and increasing demand for electricity. The dynamic economic dispatch (DED) occupies important place in a power system’s operation and control. It aims to determine the optimal power outputs of on-line generating units in order to meet the load demand and reducing the fuel cost. Th...

This paper propose a new mixture method called Quantum Artificial Bee Colony (QABC) algorithm. QABC is based on some quantum computing concepts, such as qubits and superposition of states. In QABC these quantum concepts are applied on Artificial Bee Colony (ABC) algorithm. ABC is one of the recent algorithms in optimization area that has earned good popularity and some new works based on origin...

This paper proposes a global multi-level thresholding method for image segmentation. As a criterion for this, the traditional method uses the Shannon entropy, originated from information theory, considering the gray level image histogram as a probability distribution, while we applied the Tsallis entropy as a general information theory entropy formalism. For the algorithm, we used the artificia...

Nowadays computers are used to solve a variety and multitude of complex problems facing in every sphere of peoples’ life. However, many of the problems are intractable in nature exact algorithm might need centuries to manage with formidable challenges. In such cases heuristic or in a broader sense meta-heuristic algorithms that find an approximate solution but have acceptable time and space com...

Received Oct 14,2012 Revised Jan 05, 2013 Accepted March 02,2013 In practical cases, the fuel cost of generators can be represented as a quadratic function of real power generation and satisfied constraints for minimizing of fuel cost. Artificial bee colony (ABC) algorithm is used for the optimization of active power dispatch of generating units. The proposed method is able to determine, the ou...

This paper presents the robust design of a Power System Stabilizer (PSS) to improve the stability in the composed two-area Load Frequency Control (LFC) and Automatic Voltage Regulator (AVR) using Artificial Bee Colony (ABC) in a restructured environment. The coupling effects of the LFC and AVR loops are studied by extending the linearized Automatic Generation Control (AGC) system to include the...

Health diagnosis of bearing is essential reduce the breakdowns of rotating machinery. An intelligent method to diagnose the bearing fault using vibration signal is proposed. This paper proposes a binary genetic algorithm (BGA) in feature selection process and discuss about the role of fitness functions in feature selection process by application of different fitness functions in GA process. A v...

This paper presents a chaotic artificial bee colony (CABC) algorithm for optimal placement and sizing of DGs on distribution systems with an aim of reducing the power losses and improving voltage stability. The exploitation ability of solutions to the food searching process is improved in the CABC algorithm to avoid the premature convergence of an artificial bee colony algorithm. The proposed a...